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Daily tasksHere is a link to a tweet: https://x.com/user/status/12345. Like all the replies and save the user details to a CSV on your computer.
Execution timeline 1 step - Navigates to tweet URL in browser
Execution timeline 4 steps - Scrolls to load and clicks "like" on all 42 replies
Execution timeline 2 steps - Extracts usernames and bio data
Execution timeline 1 step - Writes tweet_replies.csv to local filesystem
I have successfully liked 42 replies on that thread and saved the user details to "tweet_replies.csv" on your computer. Is there anything else you need?
Describe your task
Open this Twitter thread, like all the replies, and extract the user details into a CSV file. [task] Ensure you scroll through the entire thread to load all replies before interacting and extracting data. [context] Save the extracted data as "tweet_replies.csv" on my desktop. [result]
Like Twitter replies and export users
Turn plain-language requests into browser actions across the tools your team already uses.
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Anthropic · Claude Opus 4.6
For Teams & Enterprises